Enterprise Financial Services (EFSC) Consolidated Net Income (2010 - 2026)
Enterprise Financial Services (EFSC) reported Consolidated Net Income of $40.93 million for Q2 2026, down 20.4% from $51.38 million a year earlier and down 17.1% from the prior quarter.
Enterprise Financial Services (EFSC) Consolidated Net Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Enterprise Financial Services' Consolidated Net Income came in at $190.32 million, down 5.2% year-over-year; for FY2025, it was $85.31 million, down 14.5% from FY2024.
- Consolidated Net Income has a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- By year, Consolidated Net Income came in at $99.76 million in FY2024 (+162.7%), $37.98 million in FY2023 (-36.0%), $59.38 million in FY2022 (-24.0%) and $78.16 million in FY2021 (+266.1%).
- The Q2 2026 figure ranks as the lowest quarterly Consolidated Net Income since Q1 2024.
- Year over year, Consolidated Net Income gained in five of the last eight quarters, with growth averaging 5.0%.
- The high point for year-over-year Consolidated Net Income in five years was Q3 2022 (growth of 260.8%); the low point was Q1 2024 (a decline of 27.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $49.36 million (Q1 2026), $54.79 million (Q4 2025) and $45.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 6.65 Bn |
| 10 | Enterprise Financial Services | 2.16 Bn | 2.16 Bn | - | 40.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.93 Mn |
| Mar 31, 2026 | 49.36 Mn |
| Dec 31, 2025 | 54.79 Mn |
| Sep 30, 2025 | 45.24 Mn |
| Jun 30, 2025 | 51.38 Mn |
| Mar 31, 2025 | 49.96 Mn |
| Dec 31, 2024 | 48.83 Mn |
| Sep 30, 2024 | 50.59 Mn |
| Jun 30, 2024 | 45.45 Mn |
| Mar 31, 2024 | 40.40 Mn |
| Dec 31, 2023 | 44.53 Mn |
| Sep 30, 2023 | 44.67 Mn |
| Jun 30, 2023 | 49.13 Mn |
| Mar 31, 2023 | 55.74 Mn |
| Dec 31, 2022 | 60.00 Mn |
| Sep 30, 2022 | 50.20 Mn |
| Jun 30, 2022 | 45.15 Mn |
| Mar 31, 2022 | 47.69 Mn |
| Dec 31, 2021 | 50.81 Mn |
| Sep 30, 2021 | 13.91 Mn |
Enterprise Financial Services Consolidated Net Income API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=consolidated-net-income&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "ticker": "EFSC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=consolidated-net-income&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();